Opportunities

Positions are only available in Hong Kong, London, New York

Trading

Quantitative Trading (Full Time, Summer Intern, Winter Intern)

Traders work in teams to seek out and trade on pricing inefficiencies, develop models, manage risk, investigate new products, and push into new business areas. Experienced traders teach and oversee the less-experienced. New traders serve as assistants while they learn the ropes, getting increasing responsibility as they demonstrate their ability to handle it.

These jobs are highly quantitative. Trading candidates should be excellent quantitatively, with a strong understanding of probability and statistics. Candidates should be effective communicators in a close knit team setting, motivated, competitive and eager to learn. Previous experience or course work in finance, business, or economics is not required. We are interested in hiring responsible, motivated, adaptive, and logical thinkers with strong quantitative skills.

Technology

Trading is an intensely technological business, so writing good software is a critical part of Jane Street's operation. We are looking to hire great software developers and quantitative researchers with an interest in functional programming.

Software Developers (Full Time, Summer Intern, Winter Intern)

OCaml, a statically typed functional programming with similarities to Haskell, Scheme, Erlang, F# and SML, is our language of choice. We have the largest team of OCaml developers in any industrial setting, and probably the world's largest OCaml codebase. We use OCaml for running our entire business, supporting everything from research to systems administration to trading systems. If you're interested in seeing how functional programming plays out in the real world, there's no better place.

Quantitative Researchers (Full Time, Summer Intern, Winter Intern)

The research group at Jane Street builds models and systems for pricing and trading financial assets. Though our work is mathematically motivated, we spend most of our time coding,building systems to analyze large volumes of data, and studying and tuning our trading systems. We are looking for candidates with exceptional mathematical aptitude and hacking ability. We work mostly in OCaml, but it's okay if you have zero prior OCaml experience.